A new hybrid algorithm for global minimization of best proximity points in hilbert spaces
© 2019, SINUS Association. All rights reserved. The purpose of this paper is to introduce a new hybrid algorithm for finding a global minimization of best proximity points for a new class of mappings, called best proximally nonexpansive (BPNE), which is weaker than nonself nonexpansive mappings and...
Saved in:
| Main Authors: | , |
|---|---|
| 格式: | 雜誌 |
| 出版: |
2019
|
| 主題: | |
| 在線閱讀: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85063622889&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/65693 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| 總結: | © 2019, SINUS Association. All rights reserved. The purpose of this paper is to introduce a new hybrid algorithm for finding a global minimization of best proximity points for a new class of mappings, called best proximally nonexpansive (BPNE), which is weaker than nonself nonexpansive mappings and then prove strong convergence of the proposed method under some suitable conditions in real Hilbert spaces. Finally, some numerical experiment is also given for demonstrating our main result. |
|---|